Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business
Business Analytics Text Mining

Text Mining with "R"

Date TBD  (Fall 2017)

Text Mining with "R":  If you work in analytics or data science you are familiar with the fact that data is being generated all the time at ever-faster rates. Analysts are often trained to handle tabular or rectangular data that are mostly numeric, but much of the data proliferating today is unstructured and text-heavy. Many of us who work in analytical fields are not trained in even the simplest approaches to analyzing unstructured text data. This short course serves as an introduction to text mining with the R programming language. 

Upon successfully completing this course, students will be able to use R to:

  • Assess regular expressions within unstructured text
  • Tidy unstructured text data
  • Perform word frequency analysis
  • Quantify the sentiment in text
  • Assess the frequency and importance of terms across documents
  • Understand the relationship between words
  • Perform topic modeling analysis

Course Fee: $695 includes breakfasts, lunches, refreshments and free parking for both days.

Course Location:
U-Square. Room 359
225 Calhoun Street
Cincinnati. OH 45219   (google map link)

Registration will be avaialble when course date is confirmed

Register for Text Mining with R

2017 CLASSES

Introduction to Big Data and Hadoop   July 27 & 28
Introduction to Python  Sept 14 & 15
Tableau Training Sept 21 &22
Tableau Training Nov 2 & 3
Analytics In Excel TBD

Course Instructor:

Instructor:Text Mining with "R"

Hello! I’m Brad Boehmke, a computational economist focused on applying advanced evidence-based analytics to provide decision makers robust understanding of economic behavior, performance, and potential policy impacts across an organization.

I work on empirical econometric research, write data analysis softwareteach people about business analytics and R programming, write books, and create digital projects.

I do my work as an Assistant Professor of Logistics and Supply Chain Management at the Air Force Institute of Technology Department of Operational Sciences and as an Adjunct Assistant Professor of Business Analytics at the University of Cincinnati Lindner College of Business. Previously, I was a Senior Operations Research Analyst with the Air Force and spent many years developing life cycle forecasting, risk and decision analysis models.